The Role of Socioemotional Wealth in Entrepreneurial Persistence Decisions for Family Businesses

Many factors may influence entrepreneurial persistence in various contexts. For example, scholars find that family business entrepreneurs are more persistent than other entrepreneurs. However, the reasons why they are more persistent are not as well known. Utilizing a conjoint experiment with 64 entrepreneurs and 376 decisions, this paper examines the influence of socioemotional wealth (SEW) on persistence decisions in a family business context. The results of the Hierarchical Linear Modelling show that the expected financial returns, expected non-financial benefits, expected switching costs, and probability of expected outcomes influence entrepreneurial persistence decisions. Further, family business entrepreneurs with higher levels of SEW focus more on non-financial benefits when facing alternative opportunities. This study also provided empirical evidence for different dimensions of SEW. The results show that the emotional attachment of family members and the renewal of family bonds to the firm are effective indicators, which provide a direct measurement of SEW. The findings of this study increase scholarly understanding of both entrepreneurial persistence literature founded in threshold theory and SEW literature

Mapping the systematic literature studies about software ecosystems

There is a need to improve the definition and development of technological ecosystems in order to solve the main problems detected in previous studies. To achieve this goal, it is required to identify and analyse the solutions available in the literature in the field of software engineering applied to ecosystems. The research in software ecosystems is a relatively young research area, but there are already several works that analyse the literature associated. To conduct a new systematic literature review is necessary to ensure that there are no studies that do the same, namely, that do not answer the same research questions. The identification of the need for a review was done through a study focused on systematic literature reviews and mapping studies about software ecosystems. This work aims to describe the mapping conducted as part of that study. It provides a global state of the art of this kind of studies in the area of software ecosystems

An Online Sales System to Be Managed by People with Mental Illness

The percentage of the population aged 65 and over is increasing during the last decades. It is one of the problems that the European health system, and in particular the Spanish system, has to face out. This increase is linked to the rising of dependent people, whose suffer progressive deterioration of both their physical and mental capacities. In this context, technology plays a key role in improving the quality of life, not only of older people but also their caregivers. A technological ecosystem to support patients with mental illness, their caregivers, and the connection with their relatives was developed in previous works. This solution is prepared to evolve according to the users’ and organization’s needs. In this sense, the present work describes the inclusion of a new software tool, an online sales platform that promotes active ageing, seeking that it can be used and managed by older people who may have cognitive impairment problems. Although there are many e-commerce platforms on the market, they not consider users with special needs. The objective has not been to develop a software prototype from scratch, but to focus on aspects relating to accessibility and usability to improve online stores and apply these improvements to an existing solution, following the philosophy of Open Source software development. This work aims to describe the definition process itself

Scaling Agile Beyond Organizational Boundaries: Coordination Challenges in Software Ecosystems

The shift from sequential to agile software development originates from relatively small and co-located teams but soon gained prominence in larger organizations. How to apply and scale agile practices to fit the needs of larger projects has been studied to quite an extent in previous research. However, scaling agile beyond organizational boundaries, for instance in a software ecosystem context, raises additional challenges that existing studies and approaches do not yet investigate or address in great detail. For that reason, we conducted a case study in two software ecosystems that comprise several agile actors from different organizations and, thereby, scale development across organizational boundaries, in order to elaborate and understand their coordination challenges. Our results indicate that most of the identified challenges are caused by long communication paths and a lack of established processes to facilitate these paths. As a result, the participants in our study, among others, experience insufficient responsivity, insufficient communication of prioritizations and deliverables, and alterations or loss of information. As a consequence, agile practices need to be extended to fit the identified needs

Redefining legacy : a technical debt perspective

Organisations that manage legacy systems at scale, such as those found within large government agencies and commercial enterprises, face a set of unique challenges. They manage complex software landscapes that have evolved over decades. Current conceptual definitions of legacy systems give practitioners limited insights that can inform their daily work. In this research, we compare conceptual definitions of large-scale legacy and technical debt. We hypothesise that large-scale legacy reflects an accumulation of technical debt that has never been through a remediation phase. To pursue this hypothesis, we identified the following question: How do practitioners describe their experience of managing large-scale legacy landscapes? We conducted 16 semi-structured open-ended, recorded and transcribed interviews with industry practitioners from 4 government organisations and 9 large enterprises involved with the maintenance and migration of large-scale legacy systems. A snowball sampling technique was used to identify participants. We adopted an approach informed by grounded theory. There was consensus among the practitioners in our study that the landscape is fragmented and inflexible, consisting of many dispersed and fragile applications. Practitioners report challenges with shifting paradigms from batch processing to near real-time customer-focused information systems. Our findings show there is overlap between challenges experienced by participants and symptoms typified by technical debt. We identify a novel type of technical debt, ``Ecosystem Debt'' which arises from the scale, and age, of many large-scale legacy applications. By positioning Legacy within the context of Technical Debt, practitioners have a more concrete understanding of the state of the systems they maintain

A Model to Define an eHealth Technological Ecosystem for Caregivers

The ageing of world population has a direct impact on the health and care systems, as it means an increase in the number of people needing care which leads to higher care costs and the need for more resources. In this context, informal caregivers play an important role as they enable dependent persons to stay at home and thus reduce care costs. However, long-term continuous care provision has also an impact in the physical and mental health of the caregivers. Moreover, geographical barriers make it difficult for caregivers to accessing psychoeducation as a way to alleviate their problems. To support caregivers in their needs and provide specialized training, technology plays a fundamental role. The present work provides the theoretical basis for the development of a technological ecosystem focused on learning and knowledge management processes to develop and enhance the caregiving competences of formal and informal caregivers, both at home and in care environments. In particular, a platform-specific model to support the definition of the ecosystem based on Open Source software components is presented, along with a Business Model Canvas to define the business structure as part of the human elements of the technological ecosystem

ESAO: A holistic Ecosystem-Driven Analysis Model

The growing importance of software ecosystems and open innovation requires that companies become more intentional about aligning their internal strategy, architecture and organizing efforts with the ecosystem that the company is part of. Few models exist that facilitate analysis and improvement of this alignment. In this paper, we present the ESAO model and describe its six main components. Organizations and researchers can use the model to analyze the alignment between the different parts of their business, technologies and ways of working, internally and in the ecosystem. The model is illustrated and validated through the use of three case studies

How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns

[Context and motivation] Ecosystems developed as Open Source Software (OSS) are considered to be highly innovative and reactive to new market trends due to their openness and wide-ranging contributor base. Participation in OSS often implies opening up of the software development process and exposure towards new stakeholders. [Question/Problem] Firms considering to engage in such an environment should carefully consider potential opportunities and challenges upfront. The openness may lead to higher innovation potential but also to frictional losses for engaged firms. Further, as an ecosystem progresses, power structures and influence on feature selection may fluctuate accordingly. [Principal ideas/results] We analyze the Apache Hadoop ecosystem in a quantitative longitudinal case study to investigate changing stakeholder influence and collaboration patterns. Further, we investigate how its innovation and time-to-market evolve at the same time. [Contribution] Findings show collaborations between and influence shifting among rivaling and non-competing firms. Network analysis proves valuable on how an awareness of past, present and emerging stakeholders, in regards to power structure and collaborations may be created. Furthermore, the ecosystem’s innovation and time-to-market show strong variations among the release history. Indications were also found that these characteristics are influenced by the way how stakeholders collaborate with each other